Daniel Coca

2.0k citations
98 papers · 1.2k · h-index 20

Impact in

Papers in

Daniel Coca

94 papers receiving 1.2k citations

Peers

Daniel Coca
Comparison fields: 5 of 129
  • Environmental Engineering 181
  • Control and Systems Engineering 268
  • Statistical and Nonlinear Physics 133
  • Health, Toxicology and Mutagenesis 123
  • Artificial Intelligence 175
Replace Dat Nguyen with:
Dat Nguyen United States
Gowtham Atluri United States
Joseph F. Grotowski Germany
Antônio José da Silva Neto Brazil
Steven Reece United Kingdom
John W. Roberts United States
James Hensman United Kingdom
Philipp Hennig Germany
Imme Ebert‐Uphoff United States
Mark Ebden United Kingdom
Daniel Coca relative to Dat Nguyen United States Dat Nguyen's profile →
Citations per field
00.5×5.6×
Dat Nguyen · 1×
Citations per year

Countries citing papers authored by Daniel Coca

Since Specialization
Citations

This map shows the geographic impact of Daniel Coca's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Coca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Coca more than expected).

Fields of papers citing papers by Daniel Coca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Coca. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Coca. The network helps show where Daniel Coca may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel Coca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Coca Line = papers co-authored together Daniel Coca links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201999
2 200275
3 201268
4 201463
5 200945
6 200844
7 201042
8 200038
9 200138
10 202434
11 201834
12 199932
13
201832
14
Nonlinear System Identification Using Wavelet Multi-resolution \nModels
199931
15 199730
16 201929
17 201026
18 202023
19 201823
20 200920

About Daniel Coca

Daniel Coca is a scholar working on Control and Systems Engineering, Statistical and Nonlinear Physics, Artificial Intelligence, Computer Networks and Communications and Molecular Biology, having authored 98 papers that have together received 1.2k indexed citations. Recurring topics across this work include Control Systems and Identification (18 papers), Neural Networks and Applications (13 papers), Nonlinear Dynamics and Pattern Formation (11 papers), Fault Detection and Control Systems (10 papers), Neural dynamics and brain function (9 papers), Chaos control and synchronization (8 papers), Theoretical and Computational Physics (7 papers) and Quantum chaos and dynamical systems (6 papers). The work is most often cited by research in Environmental Engineering (181 citations), Control and Systems Engineering (268 citations), Statistical and Nonlinear Physics (133 citations), Health, Toxicology and Mutagenesis (123 citations) and Artificial Intelligence (175 citations). Daniel Coca has collaborated with scholars based in United Kingdom, Germany and Israel. Frequent co-authors include S.A. Billings, S.A. Billings, Martin Mayfield, Said Munir, Veronica Biga, Peter W. Andrews, Lingzhong Guo, Paul J. Gokhale, Viorel Barbu and Roger Hardie. Their work appears in journals such as International Journal of Bifurcation and Chaos, International Journal of Systems Science, Nonlinear Dynamics, Physics Letters A and Bioinformatics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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